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Alexander Engelsberger
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2020 – today
- 2024
- [c7]Lukas Ewecker, Niklas Wagner, Tim Brühl, Robin Schwager, Tin Stribor Sohn, Alexander Engelsberger, Jensun Ravichandran, Hanno Stage, Jacob Langner, Sascha Saralajew:
Detecting Oncoming Vehicles at Night in Urban Scenarios - An Annotation Proof-Of-Concept. IV 2024: 2117-2124 - 2023
- [j2]Alexander Engelsberger
, Thomas Villmann
Quantum Computing Approaches for Vector Quantization - Current Perspectives and Developments. Entropy 25(3): 540 (2023) - [c6]Katrin Sophie Bohnsack, Alexander Engelsberger, Marika Kaden, Thomas Villmann:
Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings. BIOINFORMATICS 2023: 59-69 - [c5]Alexander Engelsberger, Thomas Villmann:
Quantum-ready vector quantization: Prototype learning as a binary optimization problem. ESANN 2023 - [c4]Maximilian Münch, Katrin Sophie Bohnsack, Alexander Engelsberger, Frank-Michael Schleif, Thomas Villmann:
Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection. ESANN 2023 - 2022
- [j1]Thomas Villmann
Quantum-inspired learning vector quantizers for prototype-based classification. Neural Comput. Appl. 34(1): 79-88 (2022) - [c3]Thomas Villmann
Multilayer Perceptrons with Banach-Like Perceptrons Based on Semi-inner Products - About Approximation Completeness. ICAISC (1) 2022: 154-169 - 2021
- [c2]Thomas Villmann, Alexander Engelsberger
Quantum-Hybrid Neural Vector Quantization - A Mathematical Approach. ICAISC (1) 2021: 246-257 - 2020
- [c1]Thomas Villmann, Jensun Ravichandran, Alexander Engelsberger, Andrea Villmann, Marika Kaden:
Quantum-Inspired Learning Vector Quantization for Classification Learning. ESANN 2020: 279-284
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